Zzazz wants every article, video and dataset to carry a live price. The strange part is not the number - it is the market the company hopes will form around it.
Personal AI (legally Human AI Labs, Inc.) builds an identity-based memory layer and Personal Language Models (PLMs) - compact, individually trained AI models that capture a person's or organization's knowledge, voice, and decision-making. Instead of a single generic chatbot, the platform lets people and enterprises create AI personas trained on their own data, keeping ownership and privacy with the user. Founded in 2020 and based in San Francisco, the company positions its smaller, memory-grounded models as a more accurate, lower-cost, privacy-first alternative to centralized cloud LLMs for sales, healthcare, legal, HR and knowledge work.
Zyphra is a superintelligence research and product company building efficient, open foundation models and a full-stack AI cloud. Best known for its SSM-hybrid Zamba models, the ZAYA1 reasoning family trained entirely on AMD hardware, and the Zonos text-to-speech system, Zyphra argues that frontier intelligence should run cheaply, locally, and outside the walled gardens of a handful of labs. In June 2025 it raised a $100M Series A at a $1B valuation led by Jaan Tallinn.